{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Metadata extraction for the datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import statsmodels.api as sm\n",
    "from pathlib import Path\n",
    "import matplotlib.pyplot as plt\n",
    "from config import data_processed_folder\n",
    "data_processed_folder = Path(data_processed_folder)\n",
    "from timeeval import Datasets, DatasetRecord\n",
    "from timeeval.datasets import DatasetAnalyzer\n",
    "import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (20, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>train_path</th>\n",
       "      <th>test_path</th>\n",
       "      <th>dataset_type</th>\n",
       "      <th>datetime_index</th>\n",
       "      <th>split_at</th>\n",
       "      <th>train_type</th>\n",
       "      <th>train_is_normal</th>\n",
       "      <th>input_type</th>\n",
       "      <th>length</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>collection_name</th>\n",
       "      <th>dataset_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CalIt2</th>\n",
       "      <th>CalIt2-traffic</th>\n",
       "      <td>NaN</td>\n",
       "      <td>multivariate/CalIt2/CalIt2-traffic.test.csv</td>\n",
       "      <td>real</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>multivariate</td>\n",
       "      <td>5040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Daphnet</th>\n",
       "      <th>S01R01E0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>multivariate/Daphnet/S01R01E0.test.csv</td>\n",
       "      <td>real</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>multivariate</td>\n",
       "      <td>19200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S01R01E1</th>\n",
       "      <td>NaN</td>\n",
       "      <td>multivariate/Daphnet/S01R01E1.test.csv</td>\n",
       "      <td>real</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>multivariate</td>\n",
       "      <td>73600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S01R02E0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>multivariate/Daphnet/S01R02E0.test.csv</td>\n",
       "      <td>real</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>multivariate</td>\n",
       "      <td>28800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S02R01E0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>multivariate/Daphnet/S02R01E0.test.csv</td>\n",
       "      <td>real</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>multivariate</td>\n",
       "      <td>25600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">WebscopeS5</th>\n",
       "      <th>A4Benchmark-95</th>\n",
       "      <td>NaN</td>\n",
       "      <td>univariate/WebscopeS5/A4Benchmark-95.test.csv</td>\n",
       "      <td>synthetic</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>univariate</td>\n",
       "      <td>1680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A4Benchmark-96</th>\n",
       "      <td>NaN</td>\n",
       "      <td>univariate/WebscopeS5/A4Benchmark-96.test.csv</td>\n",
       "      <td>synthetic</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>univariate</td>\n",
       "      <td>1680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A4Benchmark-97</th>\n",
       "      <td>NaN</td>\n",
       "      <td>univariate/WebscopeS5/A4Benchmark-97.test.csv</td>\n",
       "      <td>synthetic</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>univariate</td>\n",
       "      <td>1680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A4Benchmark-98</th>\n",
       "      <td>NaN</td>\n",
       "      <td>univariate/WebscopeS5/A4Benchmark-98.test.csv</td>\n",
       "      <td>synthetic</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>univariate</td>\n",
       "      <td>1680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A4Benchmark-99</th>\n",
       "      <td>NaN</td>\n",
       "      <td>univariate/WebscopeS5/A4Benchmark-99.test.csv</td>\n",
       "      <td>synthetic</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>unsupervised</td>\n",
       "      <td>False</td>\n",
       "      <td>univariate</td>\n",
       "      <td>1680</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>841 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               train_path  \\\n",
       "collection_name dataset_name                \n",
       "CalIt2          CalIt2-traffic        NaN   \n",
       "Daphnet         S01R01E0              NaN   \n",
       "                S01R01E1              NaN   \n",
       "                S01R02E0              NaN   \n",
       "                S02R01E0              NaN   \n",
       "...                                   ...   \n",
       "WebscopeS5      A4Benchmark-95        NaN   \n",
       "                A4Benchmark-96        NaN   \n",
       "                A4Benchmark-97        NaN   \n",
       "                A4Benchmark-98        NaN   \n",
       "                A4Benchmark-99        NaN   \n",
       "\n",
       "                                                                    test_path  \\\n",
       "collection_name dataset_name                                                    \n",
       "CalIt2          CalIt2-traffic    multivariate/CalIt2/CalIt2-traffic.test.csv   \n",
       "Daphnet         S01R01E0               multivariate/Daphnet/S01R01E0.test.csv   \n",
       "                S01R01E1               multivariate/Daphnet/S01R01E1.test.csv   \n",
       "                S01R02E0               multivariate/Daphnet/S01R02E0.test.csv   \n",
       "                S02R01E0               multivariate/Daphnet/S02R01E0.test.csv   \n",
       "...                                                                       ...   \n",
       "WebscopeS5      A4Benchmark-95  univariate/WebscopeS5/A4Benchmark-95.test.csv   \n",
       "                A4Benchmark-96  univariate/WebscopeS5/A4Benchmark-96.test.csv   \n",
       "                A4Benchmark-97  univariate/WebscopeS5/A4Benchmark-97.test.csv   \n",
       "                A4Benchmark-98  univariate/WebscopeS5/A4Benchmark-98.test.csv   \n",
       "                A4Benchmark-99  univariate/WebscopeS5/A4Benchmark-99.test.csv   \n",
       "\n",
       "                               dataset_type  datetime_index  split_at  \\\n",
       "collection_name dataset_name                                            \n",
       "CalIt2          CalIt2-traffic         real            True       NaN   \n",
       "Daphnet         S01R01E0               real            True       NaN   \n",
       "                S01R01E1               real            True       NaN   \n",
       "                S01R02E0               real            True       NaN   \n",
       "                S02R01E0               real            True       NaN   \n",
       "...                                     ...             ...       ...   \n",
       "WebscopeS5      A4Benchmark-95    synthetic            True       NaN   \n",
       "                A4Benchmark-96    synthetic            True       NaN   \n",
       "                A4Benchmark-97    synthetic            True       NaN   \n",
       "                A4Benchmark-98    synthetic            True       NaN   \n",
       "                A4Benchmark-99    synthetic            True       NaN   \n",
       "\n",
       "                                  train_type  train_is_normal    input_type  \\\n",
       "collection_name dataset_name                                                  \n",
       "CalIt2          CalIt2-traffic  unsupervised            False  multivariate   \n",
       "Daphnet         S01R01E0        unsupervised            False  multivariate   \n",
       "                S01R01E1        unsupervised            False  multivariate   \n",
       "                S01R02E0        unsupervised            False  multivariate   \n",
       "                S02R01E0        unsupervised            False  multivariate   \n",
       "...                                      ...              ...           ...   \n",
       "WebscopeS5      A4Benchmark-95  unsupervised            False    univariate   \n",
       "                A4Benchmark-96  unsupervised            False    univariate   \n",
       "                A4Benchmark-97  unsupervised            False    univariate   \n",
       "                A4Benchmark-98  unsupervised            False    univariate   \n",
       "                A4Benchmark-99  unsupervised            False    univariate   \n",
       "\n",
       "                                length  \n",
       "collection_name dataset_name            \n",
       "CalIt2          CalIt2-traffic    5040  \n",
       "Daphnet         S01R01E0         19200  \n",
       "                S01R01E1         73600  \n",
       "                S01R02E0         28800  \n",
       "                S02R01E0         25600  \n",
       "...                                ...  \n",
       "WebscopeS5      A4Benchmark-95    1680  \n",
       "                A4Benchmark-96    1680  \n",
       "                A4Benchmark-97    1680  \n",
       "                A4Benchmark-98    1680  \n",
       "                A4Benchmark-99    1680  \n",
       "\n",
       "[841 rows x 9 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dm = Datasets(data_processed_folder)\n",
    "dm.df()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5040,\n",
       " 2,\n",
       " 0.040873015873015874,\n",
       " 'number of people entering and leaving the building using the main entrance',\n",
       " array([3.88829365, 3.7375    ]),\n",
       " array([6.83456465, 6.01037194]))"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset = dm.select()[0]\n",
    "df = dm.get_dataset_df(dataset)\n",
    "length = len(df)\n",
    "dimensions = len(df.columns) - 2\n",
    "contamination = len(df[df[\"is_anomaly\"] == 1]) / length\n",
    "means = df.iloc[:, 1:-1].mean(axis=0).values\n",
    "stddevs = df.iloc[:, 1:-1].std(axis=0).values\n",
    "domain = \"number of people entering and leaving the building using the main entrance\" # set manually\n",
    "\n",
    "length, dimensions, contamination, domain, means, stddevs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(29, 2, 7, 19)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels = df[\"is_anomaly\"]\n",
    "label_groups = labels.groupby((labels.shift() != labels).cumsum())\n",
    "anomalies = [len(v) for k, v in label_groups if np.all(v)]\n",
    "num_anomalies = len(anomalies)\n",
    "min_anomaly_length = np.min(anomalies)\n",
    "median_anomaly_length = int(np.median(anomalies))\n",
    "max_anomaly_length = np.max(anomalies)\n",
    "\n",
    "num_anomalies, min_anomaly_length, median_anomaly_length, max_anomaly_length"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyze stationarity\n",
    "\n",
    "This analyses uses `statsmodels`' Augmented Dickey Fuller (ADF) and Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test to find out if an univarate time series is stationary or not (and even if it is trend stationary or difference stationary; in this case it is stationary after trend removal or differencing respectively)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>in_count</th>\n",
       "      <th>out_count</th>\n",
       "      <th>is_anomaly</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2005-07-24 00:00:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-07-24 00:30:00</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-07-24 01:00:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-07-24 01:30:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-07-24 02:00:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-11-05 21:30:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-11-05 22:00:00</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-11-05 22:30:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-11-05 23:00:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005-11-05 23:30:00</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5040 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     in_count  out_count  is_anomaly\n",
       "timestamp                                           \n",
       "2005-07-24 00:00:00         0          0           0\n",
       "2005-07-24 00:30:00         0          1           0\n",
       "2005-07-24 01:00:00         0          0           0\n",
       "2005-07-24 01:30:00         0          0           0\n",
       "2005-07-24 02:00:00         0          0           0\n",
       "...                       ...        ...         ...\n",
       "2005-11-05 21:30:00         0          0           0\n",
       "2005-11-05 22:00:00         0          3           0\n",
       "2005-11-05 22:30:00         0          0           0\n",
       "2005-11-05 23:00:00         0          0           0\n",
       "2005-11-05 23:30:00         0          1           0\n",
       "\n",
       "[5040 rows x 3 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.set_index(\"timestamp\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Results of Augmented Dickey Fuller (ADF) test:\n",
      "Test Statistic   -1.263684e+01\n",
      "p-value           1.463704e-23\n",
      "Lags Used         3.200000e+01\n",
      "dtype: float64\n",
      "Results of Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test:\n",
      "Test Statistic     0.320464\n",
      "p-value            0.100000\n",
      "Lags Used         39.000000\n",
      "dtype: float64\n",
      "-------------------------------------------\n",
      "Stationarity of series 'in_count': difference stationary\n",
      "\n",
      "Results of Augmented Dickey Fuller (ADF) test:\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/sebastian.schmidl/.conda/envs/timeeval38/lib/python3.8/site-packages/statsmodels/tsa/stattools.py:1910: InterpolationWarning: The test statistic is outside of the range of p-values available in the\n",
      "look-up table. The actual p-value is greater than the p-value returned.\n",
      "\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Statistic   -1.158374e+01\n",
      "p-value           2.901006e-21\n",
      "Lags Used         3.200000e+01\n",
      "dtype: float64\n",
      "Results of Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test:\n",
      "Test Statistic     0.544419\n",
      "p-value            0.031662\n",
      "Lags Used         39.000000\n",
      "dtype: float64\n",
      "-------------------------------------------\n",
      "Stationarity of series 'out_count': stationary\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# source https://www.statsmodels.org/stable/examples/notebooks/generated/stationarity_detrending_adf_kpss.html\n",
    "from statsmodels.tsa.stattools import adfuller, kpss\n",
    "def adf_stationarity_test(timeseries: pd.DataFrame, sigma: float = 0.05) -> bool:\n",
    "    print(\"Results of Augmented Dickey Fuller (ADF) test:\")\n",
    "    adftest = adfuller(timeseries, autolag=\"AIC\")\n",
    "    adf_output = pd.Series(adftest[0:3], index=['Test Statistic','p-value','Lags Used'])\n",
    "    print(adf_output)\n",
    "    return adf_output[\"p-value\"] < sigma\n",
    "\n",
    "def kpss_trend_stationarity_test(timeseries: pd.DataFrame, sigma: float = 0.05) -> bool:\n",
    "    print(\"Results of Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test:\")\n",
    "    kpsstest = kpss(timeseries, regression=\"c\", nlags=\"auto\")\n",
    "    kpss_output = pd.Series(kpsstest[0:3], index=['Test Statistic','p-value','Lags Used'])\n",
    "    print(kpss_output)\n",
    "    return kpss_output[\"p-value\"] < sigma\n",
    "\n",
    "def get_stationarity(timeseries: pd.Series) -> str:\n",
    "    stationary = adf_stationarity_test(timeseries)\n",
    "    trend_stationary = kpss_trend_stationarity_test(timeseries)\n",
    "\n",
    "    if not stationary and not trend_stationary:\n",
    "        stationarity = \"not stationary\"\n",
    "    elif stationary and trend_stationary:\n",
    "        stationarity = \"stationary\"\n",
    "    elif not stationary and trend_stationary:\n",
    "        stationarity = \"trend stationary\" # detrending to make stationary\n",
    "    else: # if stationary and not trend_stationary:\n",
    "        stationarity = \"difference stationary\" # differencing to make stationary\n",
    "    \n",
    "    print(\"-------------------------------------------\")\n",
    "    print(f\"Stationarity of series '{timeseries.name}': {stationarity}\\n\")\n",
    "    return stationarity\n",
    "\n",
    "column = \"in_count\"\n",
    "in_stationarity = get_stationarity(df[column])\n",
    "\n",
    "column = \"out_count\"\n",
    "out_stationarity = get_stationarity(df[column])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
    "\n",
    "def plot_series_info(df: pd.DataFrame, series_name: str):\n",
    "    fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)\n",
    "    df[series_name].plot(ax=ax1)\n",
    "    ax1.set_title(f\"Timeseries {series_name}\")\n",
    "    ax1.set_xlabel(\"\")\n",
    "    df[series_name].diff().plot(ax=ax3)\n",
    "    ax3.set_title(f\"Differenced timeseries {series_name}\")\n",
    "\n",
    "    plot_acf(df[series_name], ax=ax2)\n",
    "    plot_pacf(df[series_name], ax=ax4)\n",
    "\n",
    "plot_series_info(df, \"in_count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_series_info(df, \"out_count\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('difference stationary', 'stationary')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "in_stationarity, out_stationarity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Trend and Seasonality Analysis\n",
    "\n",
    "We fit three different regression models to the data and inspect their coefficient to judge if their are trends in the time series. If the coefficients are larger than a threshold, the corresponding trends exists.\n",
    "\n",
    "- linear trend\n",
    "- quadratic trend\n",
    "- kubic trend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Coef r2\n",
      "[1.4910128] 0.5228290287255758\n",
      "[0.00083443] 0.49242526497641403\n",
      "[5.04217065e-07] 0.45842710806639464\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "df2 = dm.get_dataset_df(dm.select(dataset_name=\"A4Benchmark-95\")[0])\n",
    "column = \"value\"\n",
    "\n",
    "def get_trend(series, order: int = 1) -> float:\n",
    "    idx = np.array(range(len(df2)))\n",
    "    X = np.array(np.power(idx, order)).reshape(-1, 1)\n",
    "    y = series\n",
    "\n",
    "    model = LinearRegression()\n",
    "    model.fit(X, series)\n",
    "    return model.coef_, model.score(X, y), model.predict(X)\n",
    "\n",
    "fig, ax = plt.subplots(3)\n",
    "print(\"Coef r2\")\n",
    "for order in [1, 2, 3]:\n",
    "    coef, r2, trend = get_trend(df2[column], order)\n",
    "    df2[column].plot(ax=ax[order-1])\n",
    "    ax[order-1].plot(trend)\n",
    "    print(coef, r2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([   0,    1,    2, ..., 1677, 1678, 1679])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.power(range(len(df2)), 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "series = df[\"out_count\"]\n",
    "cycle, trend = sm.tsa.filters.hpfilter(series)\n",
    "fig, (ax1, ax2, ax3) = plt.subplots(3)\n",
    "series.plot(ax=ax1, label=\"real\")\n",
    "ax1.set_title(\"real\")\n",
    "trend.plot(ax=ax2)\n",
    "ax2.set_title(\"trend\")\n",
    "cycle.plot(ax=ax3)\n",
    "ax3.set_title(\"cyclic\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## (Re-)calculating all metadata of existing preprocessed datasets\n",
    "\n",
    "Unsupervised methods:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Analyzing unsupervised datasets:   0%|          | 0/653 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing dataset ('CalIt2', 'CalIt2-traffic') (testing)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[('CalIt2', 'CalIt2-traffic') (test)] /home/projects/akita/data/benchmark-data/data-processed/multivariate/CalIt2/CalIt2-traffic.metadata.json already exists, but 'overwrite' was specified! Ignoring existing contents.\n",
      "Analyzing unsupervised datasets:   0%|          | 1/653 [00:00<04:59,  2.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing dataset ('Daphnet', 'S01R01E0') (testing)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[('Daphnet', 'S01R01E0') (test)] /home/projects/akita/data/benchmark-data/data-processed/multivariate/Daphnet/S01R01E0.metadata.json already exists, but 'overwrite' was specified! Ignoring existing contents.\n",
      "Analyzing unsupervised datasets:   0%|          | 2/653 [00:11<39:15,  3.62s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing dataset ('Daphnet', 'S01R01E1') (testing)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[('Daphnet', 'S01R01E1') (test)] /home/projects/akita/data/benchmark-data/data-processed/multivariate/Daphnet/S01R01E1.metadata.json already exists, but 'overwrite' was specified! Ignoring existing contents.\n",
      "Analyzing unsupervised datasets:   0%|          | 3/653 [01:39<5:13:02, 28.90s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing dataset ('Daphnet', 'S01R02E0') (testing)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[('Daphnet', 'S01R02E0') (test)] /home/projects/akita/data/benchmark-data/data-processed/multivariate/Daphnet/S01R02E0.metadata.json already exists, but 'overwrite' was specified! Ignoring existing contents.\n",
      "Analyzing unsupervised datasets:   1%|          | 4/653 [01:59<4:43:35, 26.22s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing dataset ('Daphnet', 'S02R01E0') (testing)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[('Daphnet', 'S02R01E0') (test)] /home/projects/akita/data/benchmark-data/data-processed/multivariate/Daphnet/S02R01E0.metadata.json already exists, but 'overwrite' was specified! Ignoring existing contents.\n",
      "Analyzing unsupervised datasets:   1%|          | 5/653 [02:15<4:11:14, 23.26s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing dataset ('Daphnet', 'S02R02E0') (testing)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[('Daphnet', 'S02R02E0') (test)] /home/projects/akita/data/benchmark-data/data-processed/multivariate/Daphnet/S02R02E0.metadata.json already exists, but 'overwrite' was specified! Ignoring existing contents.\n",
      "Analyzing unsupervised datasets:   1%|          | 6/653 [03:25<6:42:18, 37.31s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing dataset ('Daphnet', 'S03R01E0') (testing)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[('Daphnet', 'S03R01E0') (test)] /home/projects/akita/data/benchmark-data/data-processed/multivariate/Daphnet/S03R01E0.metadata.json already exists, but 'overwrite' was specified! Ignoring existing contents.\n",
      "Analyzing unsupervised datasets:   1%|          | 7/653 [04:19<7:36:17, 42.38s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing dataset ('Daphnet', 'S03R01E1') (testing)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[('Daphnet', 'S03R01E1') (test)] /home/projects/akita/data/benchmark-data/data-processed/multivariate/Daphnet/S03R01E1.metadata.json already exists, but 'overwrite' was specified! Ignoring existing contents.\n",
      "Analyzing unsupervised datasets:   1%|          | 8/653 [04:47<6:46:45, 37.84s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing dataset ('Daphnet', 'S03R02E0') (testing)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[('Daphnet', 'S03R02E0') (test)] /home/projects/akita/data/benchmark-data/data-processed/multivariate/Daphnet/S03R02E0.metadata.json already exists, but 'overwrite' was specified! Ignoring existing contents.\n",
      "Analyzing unsupervised datasets:   1%|▏         | 9/653 [04:56<5:13:20, 29.19s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing dataset ('Daphnet', 'S03R03E0') (testing)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[('Daphnet', 'S03R03E0') (test)] KPSS trend stationarity test encountered an error: cannot convert float NaN to integer\n",
      "[('Daphnet', 'S03R03E0') (test)] KPSS trend stationarity test encountered an error: cannot convert float NaN to integer\n",
      "[('Daphnet', 'S03R03E0') (test)] KPSS trend stationarity test encountered an error: cannot convert float NaN to integer\n",
      "Analyzing unsupervised datasets:   2%|▏         | 10/653 [05:07<4:15:44, 23.86s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analyzing dataset ('Daphnet', 'S04R01E0') (testing)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Analyzing unsupervised datasets:   2%|▏         | 10/653 [07:06<7:36:38, 42.61s/it]\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-5-a8af3051dcb4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mdataset\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtqdm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtqdm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0munsupervised_datasets\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdesc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"Analyzing unsupervised datasets\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0mtqdm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtqdm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"Analyzing dataset {dataset} ({'training' if train else 'testing'})\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0mda\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mDatasetAnalyzer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mis_train\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdmgr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdmgr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m     \u001b[0mmeta_file\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdmgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_dataset_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtrain\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mparent\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34mf\"{dataset[1]}.{Datasets.METADATA_FILENAME_PREFIX}\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m     \u001b[0mda\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msave_to_json\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmeta_file\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moverwrite\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/timeeval/datasets/analyzer.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, dataset_id, is_train, df, dataset_path, dmgr)\u001b[0m\n\u001b[1;32m     32\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_log_prefix\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34mf\"[{self.dataset_id} ({'train' if self.is_train else 'test'})]\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     33\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_find_base_metadata\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 34\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_find_stationarity\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     35\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_find_trends\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     36\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/timeeval/datasets/analyzer.py\u001b[0m in \u001b[0;36m_find_stationarity\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    153\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstationarity\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    154\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mseries\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 155\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstationarity\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mseries\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_analyze_series\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mseries\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    156\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    157\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_find_trends\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/timeeval/datasets/analyzer.py\u001b[0m in \u001b[0;36m_analyze_series\u001b[0;34m(self, series)\u001b[0m\n\u001b[1;32m    130\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mwarnings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcatch_warnings\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    131\u001b[0m             \u001b[0mwarnings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfilterwarnings\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"ignore\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 132\u001b[0;31m             \u001b[0mstationary\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_adf_stationarity_test\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mseries\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    133\u001b[0m             \u001b[0mtrend_stationary\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kpss_trend_stationarity_test\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mseries\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    134\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/timeeval/datasets/analyzer.py\u001b[0m in \u001b[0;36m_adf_stationarity_test\u001b[0;34m(self, series, sigma)\u001b[0m\n\u001b[1;32m    108\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_adf_stationarity_test\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mseries\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSeries\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msigma\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfloat\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0.05\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    109\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 110\u001b[0;31m             \u001b[0madftest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0madfuller\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mseries\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mautolag\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"AIC\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    111\u001b[0m             \u001b[0madf_output\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSeries\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0madftest\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Test Statistic'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'p-value'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Lags Used'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlog\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdebug\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"{self._log_prefix} Results of Augmented Dickey Fuller (ADF) test:\\n{adf_output}\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/statsmodels/tsa/stattools.py\u001b[0m in \u001b[0;36madfuller\u001b[0;34m(x, maxlag, regression, autolag, store, regresults)\u001b[0m\n\u001b[1;32m    339\u001b[0m         \u001b[0micbest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    340\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mregression\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;34m\"nc\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 341\u001b[0;31m         resols = OLS(\n\u001b[0m\u001b[1;32m    342\u001b[0m             \u001b[0mxdshort\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0madd_trend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxdall\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m:\u001b[0m \u001b[0musedlag\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mregression\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    343\u001b[0m         ).fit()\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/statsmodels/regression/linear_model.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, endog, exog, missing, hasconst, **kwargs)\u001b[0m\n\u001b[1;32m    870\u001b[0m     def __init__(self, endog, exog=None, missing='none', hasconst=None,\n\u001b[1;32m    871\u001b[0m                  **kwargs):\n\u001b[0;32m--> 872\u001b[0;31m         super(OLS, self).__init__(endog, exog, missing=missing,\n\u001b[0m\u001b[1;32m    873\u001b[0m                                   hasconst=hasconst, **kwargs)\n\u001b[1;32m    874\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;34m\"weights\"\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_init_keys\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/statsmodels/regression/linear_model.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, endog, exog, weights, missing, hasconst, **kwargs)\u001b[0m\n\u001b[1;32m    701\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    702\u001b[0m             \u001b[0mweights\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mweights\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msqueeze\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 703\u001b[0;31m         super(WLS, self).__init__(endog, exog, missing=missing,\n\u001b[0m\u001b[1;32m    704\u001b[0m                                   weights=weights, hasconst=hasconst, **kwargs)\n\u001b[1;32m    705\u001b[0m         \u001b[0mnobs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexog\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/statsmodels/regression/linear_model.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, endog, exog, **kwargs)\u001b[0m\n\u001b[1;32m    188\u001b[0m     \"\"\"\n\u001b[1;32m    189\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mendog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 190\u001b[0;31m         \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mRegressionModel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mendog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    191\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data_attr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'pinv_wexog'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'weights'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    192\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/statsmodels/base/model.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, endog, exog, **kwargs)\u001b[0m\n\u001b[1;32m    235\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    236\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mendog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexog\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 237\u001b[0;31m         \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mLikelihoodModel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mendog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    238\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minitialize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    239\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/statsmodels/base/model.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, endog, exog, **kwargs)\u001b[0m\n\u001b[1;32m     75\u001b[0m         \u001b[0mmissing\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'missing'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'none'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     76\u001b[0m         \u001b[0mhasconst\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'hasconst'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 77\u001b[0;31m         self.data = self._handle_data(endog, exog, missing, hasconst,\n\u001b[0m\u001b[1;32m     78\u001b[0m                                       **kwargs)\n\u001b[1;32m     79\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mk_constant\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mk_constant\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/statsmodels/base/model.py\u001b[0m in \u001b[0;36m_handle_data\u001b[0;34m(self, endog, exog, missing, hasconst, **kwargs)\u001b[0m\n\u001b[1;32m     99\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    100\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_handle_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mendog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmissing\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhasconst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 101\u001b[0;31m         \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhandle_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mendog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmissing\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhasconst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    102\u001b[0m         \u001b[0;31m# kwargs arrays could have changed, easier to just attach here\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    103\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mkey\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/statsmodels/base/data.py\u001b[0m in \u001b[0;36mhandle_data\u001b[0;34m(endog, exog, missing, hasconst, **kwargs)\u001b[0m\n\u001b[1;32m    670\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    671\u001b[0m     \u001b[0mklass\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mhandle_data_class_factory\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mendog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexog\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 672\u001b[0;31m     return klass(endog, exog=exog, missing=missing, hasconst=hasconst,\n\u001b[0m\u001b[1;32m    673\u001b[0m                  **kwargs)\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/statsmodels/base/data.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, endog, exog, missing, hasconst, **kwargs)\u001b[0m\n\u001b[1;32m     85\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconst_idx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     86\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mk_constant\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 87\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_handle_constant\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhasconst\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     88\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_integrity\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     89\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_cache\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/statsmodels/base/data.py\u001b[0m in \u001b[0;36m_handle_constant\u001b[0;34m(self, hasconst)\u001b[0m\n\u001b[1;32m    129\u001b[0m             \u001b[0;31m# detect where the constant is\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    130\u001b[0m             \u001b[0mcheck_implicit\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 131\u001b[0;31m             \u001b[0mexog_max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexog\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    132\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misfinite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexog_max\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    133\u001b[0m                 \u001b[0;32mraise\u001b[0m \u001b[0mMissingDataError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'exog contains inf or nans'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m<__array_function__ internals>\u001b[0m in \u001b[0;36mamax\u001b[0;34m(*args, **kwargs)\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/numpy/core/fromnumeric.py\u001b[0m in \u001b[0;36mamax\u001b[0;34m(a, axis, out, keepdims, initial, where)\u001b[0m\n\u001b[1;32m   2731\u001b[0m     \u001b[0;36m5\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2732\u001b[0m     \"\"\"\n\u001b[0;32m-> 2733\u001b[0;31m     return _wrapreduction(a, np.maximum, 'max', axis, None, out,\n\u001b[0m\u001b[1;32m   2734\u001b[0m                           keepdims=keepdims, initial=initial, where=where)\n\u001b[1;32m   2735\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/.conda/envs/timeeval38/lib/python3.8/site-packages/numpy/core/fromnumeric.py\u001b[0m in \u001b[0;36m_wrapreduction\u001b[0;34m(obj, ufunc, method, axis, dtype, out, **kwargs)\u001b[0m\n\u001b[1;32m     85\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mreduction\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mpasskwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     86\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 87\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mufunc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreduce\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mpasskwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     88\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     89\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "dmgr = Datasets(data_processed_folder)\n",
    "dmgr_new = Datasets(data_processed_folder / \"new\")\n",
    "unsupervised_datasets = dmgr.select(train_type=\"unsupervised\")\n",
    "train = False\n",
    "for dataset in tqdm.tqdm(unsupervised_datasets, desc=\"Analyzing unsupervised datasets\"):\n",
    "    tqdm.tqdm.write(f\"Analyzing dataset {dataset} ({'training' if train else 'testing'})\")\n",
    "    da = DatasetAnalyzer(dataset, is_train=train, dmgr=dmgr)\n",
    "    meta_file = dmgr.get_dataset_path(dataset, train=train).parent / f\"{dataset[1]}.{Datasets.METADATA_FILENAME_PREFIX}\"\n",
    "    da.save_to_json(meta_file, overwrite=True)\n",
    "    \n",
    "    base_data = dmgr.df().loc[dataset]\n",
    "    meta_data = da.metadata\n",
    "    dmgr_new.add_dataset(DatasetRecord(\n",
    "        collection_name=dataset[0],\n",
    "        dataset_name=dataset[1],\n",
    "        train_path=base_data.train_path,\n",
    "        test_path=base_data.test_path,\n",
    "        dataset_type=base_data.dataset_type,\n",
    "        datetime_index=base_data.datetime_index,\n",
    "        split_at=base_data.split_at,\n",
    "        train_type=base_data.train_type,\n",
    "        train_is_normal=base_data.train_is_normal,\n",
    "        input_type=base_data.input_type,\n",
    "        length=meta_data.length,\n",
    "        dimensions=meta_data.dimensions,\n",
    "        contamination=meta_data.contamination,\n",
    "        num_anomalies=meta_data.num_anomalies,\n",
    "        min_anomaly_length=meta_data.anomaly_length.min,\n",
    "        median_anomaly_length=meta_data.anomaly_length.median,\n",
    "        max_anomaly_length=meta_data.anomaly_length.max,\n",
    "        mean=meta_data.mean,\n",
    "        stddev=meta_data.stddev,\n",
    "        trend=meta_data.trend,\n",
    "        stationarity=meta_data.get_stationarity_name(),\n",
    "    ))\n",
    "dmgr_new.save()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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